rowwise.md
In dplyr: A Grammar of Data Manipulation

rowwise has decent print method

Code
  rf
Output
  # A tibble: 5 x 1
  # Rowwise:  x
        x
    <int>
  1     1
  2     2
  3     3
  4     4
  5     5

validate_rowwise_df() gives useful errors

Code
  (expect_error(validate_rowwise_df(df1)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The `.rows` column must be a list of size 1, one-based integer vectors with the right value.
Code
  (expect_error(validate_rowwise_df(df2)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The last column of the `groups` attribute must be called `.rows`.
Code
  (expect_error(validate_rowwise_df(df3)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The `groups` attribute must be a data frame.
Code
  (expect_error(validate_rowwise_df(df4)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The `groups` attribute must be a data frame.
Code
  (expect_error(validate_rowwise_df(df7)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The `.rows` column must be a list of size 1, one-based integer vectors with the right value.
Code
  (expect_error(attr(df8, "groups")$.rows <- 1:8))
Output
  <error/tibble_error_assign_incompatible_size>
  Error in `$<-`:
  ! Assigned data `1:8` must be compatible with existing data.
  x Existing data has 10 rows.
  x Assigned data has 8 rows.
  i Only vectors of size 1 are recycled.
  Caused by error in `vectbl_recycle_rhs_rows()`:
  ! Can't recycle input of size 8 to size 10.
Code
  (expect_error(validate_rowwise_df(df10)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The `groups` attribute must be a data frame.
Code
  (expect_error(validate_rowwise_df(df11)))
Output
  <error/rlang_error>
  Error in `validate_rowwise_df()`:
  ! The `groups` attribute must be a data frame.
Code
  (expect_error(new_rowwise_df(tibble(x = 1:10), tibble(".rows" := list(1:5, -1L))))
  )
Output
  <error/rlang_error>
  Error in `new_rowwise_df()`:
  ! `group_data` must be a tibble without a `.rows` column.
Code
  (expect_error(new_rowwise_df(tibble(x = 1:10), 1:10)))
Output
  <error/rlang_error>
  Error in `new_rowwise_df()`:
  ! `group_data` must be a tibble without a `.rows` column.